Suppr超能文献

基于 2-丁酮缩硫代氨基脲的混合配体过渡金属配合物靶向组合库的计算机辅助药物设计和虚拟筛选。

Computer-aided drug design and virtual screening of targeted combinatorial libraries of mixed-ligand transition metal complexes of 2-butanone thiosemicarbazone.

机构信息

Department of Chemistry, Integral University, Dasauli, P.O. Bas-ha, Kursi Road, Lucknow 226026, UP, India; Department of Chemistry, Isabella Thoburn College, 7, Faizabad Road, Lucknow 226007, UP, India.

Department of Biochemistry, Era's Lucknow Medical College & Hospital, Era University, Sarfarazganj, Hardoi Road, Lucknow 226003, UP, India.

出版信息

Comput Biol Chem. 2018 Aug;75:178-195. doi: 10.1016/j.compbiolchem.2018.05.008. Epub 2018 May 8.

Abstract

The present paper deals with in silico evaluation of 32 virtually designed transition metal complexes of 2-butanone thiosemicarbazone and N,S,O containing donor hetero-ligands namely py, bpy, furan, thiophene, 2-picoline, 1,10-phenanthroline, piperazine and liquid ammonia. The complexes were designed with a view to assess their potential anticancer, antioxidant and antibacterial activity. The absorption, distribution, metabolism, excretion and toxicity (ADMET) properties of the chosen ligands were calculated by admetSAR software. Metabolic sites of different ligands likely to undergo metabolism were predicted using Metaprint 2D. The proposed complexes were also evaluated for their drug-like quality based on Lipinski's, Veber, Ghose and leadlikeness filters. Druglikeness and toxicity potential were predicted by OSIRIS property explorer. The pharmacokinetic properties and bioactivity scores were calculated by Molinspiration tool. Bioactivity scores of the complexes were predicted for drug targets including enzymes, nuclear receptors, kinase inhibitors, G-protein coupled receptor ligands and ion channel modulators. Molecular docking of selected Fe(II) mixed-ligand complexes was performed using AutoDock version 4.2.6 and i-GEMDOCK version 2.1 with two target proteins namely Ribonucleotide reductase (RR) and Topoisomerase II (Topo II). The results were compared with three standard reference drugs viz. Doxorubicin HCl, Letrozole (anticancer) and Tetracycline (antibiotic). Multivariate data obtained were analyzed using principal component analysis (PCA) for visualization and projection as scatter and 3D plots. Positive results obtained for hetero-ligands using admetSAR version 1.0 indicated good absorption and transport kinetics of the hetero-ligand complexes through the human intestine and blood-brain barrier. The hetero-ligands were predicted to have no associated mutagenic effect(s) also. However, none of the hetero-ligands was predicted to be Caco-2 (human colon cancer cell line) permeable. Most of the hetero-ligands and the parent ligand (2-butanone thiosemicarbazone) were predicted to undergo Phase-I metabolism prior to excretion using MetaPrint2D software. Pharmacokinetic evaluation of the proposed complexes revealed that all complexes displayed drug-like character and were predicted to have no apparent toxic side-effects. All the proposed complexes showed moderate to good biological activity scores (-5.0 to 0.0). Mixed complexes with bpy, 2-picoline and 1,10-phenanthroline showed significant bioactivity scores (as enzyme inhibitors) in the range 0.02-0.13. Likewise, good docking scores were obtained for Fe (II) complexes with the same ligands. [FeL(2-pic)] displayed the lowest binding energy (-6.47 kcal/mol) with respect to Topo II followed by [FeL(py)] (-6.14 kcal/mol) as calculated by AutoDock version 4.2.6. With respect to binding with RR, [FeL(2--pic)] again displayed the lowest binding energy (-7.21 kcal/mol) followed by [FeL(py)] (-5.96 kcal/mol). On the basis of docking predictions and various other computational evaluations, four mixed-ligand complexes of Fe in +2 oxidation state with py, bpy, 2--picoline and 1,10-phenanthroline were synthesized with 2-butanone thiosemicarbazone. All the synthesized Fe complexes were characterized using various spectroscopic techniques and tested for their potential anticancer activity in vitro against human breast carcinoma cell line MDA-MB 231 and human lung carcinoma cell line A549 cell line using MTT assay. [FeL(2-pic)], [FeL(bpy)], and [FeL(py)] were found to exhibit significant antiproliferative activity with IC values in the range of 80-100 μM against breast and lung cancer cells. The synthesized Fe complexes also displayed mild antioxidant activities. The synthesized and studied Fe complexes have the potential for development into future anticancer agents if analyzed and modified further for improvement of their ADMET, solubility and permeability criteria set for potential drug-candidates.

摘要

本文主要通过计算机模拟的方法对 32 种 2-丁酮缩硫代氨基脲和含有 N、S、O 供体杂环配体(如吡嗪、联吡啶、呋喃、噻吩、2-吡啶、1,10-菲咯啉、哌嗪和液氨)的过渡金属配合物的潜在抗癌、抗氧化和抗菌活性进行了评估。选择这些配体是为了评估它们的吸收、分布、代谢、排泄和毒性(ADMET)特性。通过 admetSAR 软件计算所选配体的代谢位点,并用 Metaprint 2D 预测可能发生代谢的不同配体的代谢位点。根据 Lipinski、Veber、Ghose 和 leadlikeness 过滤器评估所提出的配合物的类药性。使用 OSIRIS property explorer 预测药物的类药性和毒性潜力。通过 Molinspiration 工具计算药物的药代动力学性质和生物活性评分。预测配合物对包括酶、核受体、激酶抑制剂、G 蛋白偶联受体配体和离子通道调节剂在内的药物靶点的生物活性评分。使用 AutoDock 版本 4.2.6 和 i-GEMDOCK 版本 2.1 对选定的 Fe(II)混合配体配合物进行分子对接,针对两个靶蛋白(核糖核苷酸还原酶(RR)和拓扑异构酶 II(Topo II))进行。将结果与三种标准参考药物(盐酸多柔比星、来曲唑(抗癌)和四环素(抗生素))进行比较。使用主成分分析(PCA)对多元数据进行分析,以便可视化和投影为散点图和 3D 图。admetSAR 版本 1.0 对杂环配体的阳性结果表明,杂环配体复合物通过人肠和血脑屏障具有良好的吸收和转运动力学。杂环配体也没有预测到相关的致突变作用。然而,没有一种杂环配体被预测为能够穿过人结肠癌细胞系(Caco-2)。使用 MetaPrint2D 软件预测大多数杂环配体和母体配体(2-丁酮缩硫代氨基脲)在排泄前会经历 I 期代谢。对所提出的配合物的药代动力学评估表明,所有配合物均表现出类药性特征,并且没有明显的毒性副作用。所有提出的配合物都表现出适度到良好的生物活性评分(-5.0 至 0.0)。与 bpy、2-吡啶和 1,10-菲咯啉混合的配合物显示出中等至良好的生物活性评分(作为酶抑制剂),范围为 0.02-0.13。同样,用 AutoDock 版本 4.2.6 计算,与相同配体的 Fe(II)配合物也得到了较好的对接分数。[FeL(2-吡啶)]与拓扑异构酶 II 结合时表现出最低的结合能(-6.47 kcal/mol),其次是[FeL(吡嗪)](-6.14 kcal/mol)。关于与 RR 的结合,[FeL(2--吡啶)]再次显示出最低的结合能(-7.21 kcal/mol),其次是[FeL(吡嗪)](-5.96 kcal/mol)。根据对接预测和其他各种计算评估,用 2-丁酮缩硫代氨基脲合成了四种处于+2 氧化态的 Fe 与 py、bpy、2-吡啶和 1,10-菲咯啉的混合配体配合物。使用各种光谱技术对所有合成的 Fe 配合物进行了表征,并使用 MTT 测定法在体外对人乳腺癌细胞系 MDA-MB 231 和人肺癌细胞系 A549 细胞系中对其潜在的抗癌活性进行了测试。[FeL(2-吡啶)]、[FeL(联吡啶)]和[FeL(吡嗪)]表现出显著的抗增殖活性,对乳腺癌和肺癌细胞的 IC 值在 80-100 μM 范围内。合成的 Fe 配合物也表现出轻微的抗氧化活性。如果对合成的 Fe 配合物进行进一步分析和改进,以提高其 ADMET、溶解度和通透性等潜在药物候选物的标准,它们有可能开发成为未来的抗癌药物。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验